This conference was supported by the National Natural Science Foundation of China (Grant No. 0710301053)
Fifty years ago, enthused by successes in creating digital computers and the DNA model of heredity, scientists were con dent that solutions to the problems of und- standing biological intelligence and creating machine intelligence were within their grasp. Progress at ?rst seemed rapid. Giant ‘brains’ that ?lled air-conditioned rooms were shrunk into briefcases. The speed of computation doubled every two years. What these advances revealed is not the solutions but the dif culties of the pr- lems. We are like the geographers who ‘discovered’ America, not as a collection of islands but as continents seen only at shores and demanding exploration. We are astounded less by the magnitude of our discoveries about how brains cogitate than by the enormity of the tasks we have undertaken, to explain and replicate the higher functions of brains. Five decades of brain research have led to the emergence of a new ?eld, which spans the entire range of brain cognition from quantum ?elds to social interactions, and which is combined by the conceptions of nonlinear neurodynamics operating simultaneously at and across all levels. A new breed of scientists has emerged, schooled in multiple academic disciplines, comfortable in working with data from different levels, and conversant with the mathematical tools that are essential to cross boundaries.
This volume contains the Proceedings of the 1st International Conference on Cognitive Neurodynamics held in Shanghai in 2007. Participants were treated to a stimulating conference that left everyone with an enthusiastic vision for the future of the field.
Part I Microscopic Cognitive Neurodynamics.
1. Dynamic Interaction
Networks and Global Ontology-Based Modelling of Brain Dynamics, Nikola
Kasabov et. al.;
2. The Cauchy Problem for Spiking Neuron Models, Romain
Brette.
3. On the Dynamics of Spectro-Temporal Tuning in Auditory Cortex,
Didier A. Depireux et. al.;
4. A European Collaboration on Cerebellar LTD and
Pattern Recognition, Erik De Schutter et. al.;
5. The Role of Layer 6
Feedback Cells in the Primary Visual Cortex, Wei Wang.
6. What Language is
Spoken Here? Conversations Between Neurons in Primate Visual Cortex, Vivien
A. Casagrande et. al.;
7. On the Emergence of Orientation Biases in V1,
Mehdil and Nouri Shirazi.
8. Stress Affects Synaptic Plasticity and Basal
Synaptic Transmission in the Rat Hippocampus In Vivo, Amer Kamal et. al.;
9.
Physiological Evidence for Cantor Coding Output in Hippocampal CA1, Yasuhiro
Fukushima et. al.;
10. Theta Phase Coding and Suppression of Irrelevant
Plastic Change Through STDP in the Entorhino-Hippocampal System amid
Background Noise, Jun Igarashi et. al.;
11. Effect of Low-Frequency
Stimulation on Spontaneous Firing in Cultured Neuronal Networks, J. van Pelt
et. al.;
12. Modeling Neurons of the Inferior Colliculus, Harry Erwin et.
al.;
13. Synchronization Effects in Networks of Striatal Fast Spiking
Interneurons Role of Gap Junctions, Johannes Hjorth et. al.;
14. Multilayer
In-Place Learning Networks with Adaptive Lateral Connections: Models and
Simulations, Weiya Shi et. al.;
15. Stimulus-Induced Pairwise Interaction Can
Be Revealed by Information Geometric Approach, Hiroyuki Nakahara et. al.;
16.
A Dynamical Model of Fast Intrinsic Optical Signal of Neural Burstings,
Jianzhong Su et. al.;
17. The Mechanism of Bifurcation-Dependent Coherence
Resonance of Morris-Lecar Neuron Model, Guangjun Zhang et. al.;
18.
Noise-Induced Coherence Resonance in Morris-Lecar Neuron System, Bao-Hua et.
al.;
19. Chaotic Burst Synchronization in a Small-World Neuronal Network,
YanhongZheng et. al.;
20. A Stochastic Resonance Memory Mechanism of
Hippocampus, Yan Chuankui et. al.;
21. Theta Phase Precession Enhance Single
Trial Learning in an STDP Network, Enhua Shen et. al.;
22. A Numerical
Mechanism for Square-Wave or Elliptic Bursting of Bursts in a Map-Based
Neuron Network, Hongjun Cao et. al.;
23. Sub-Threshold Oscillation and
Transient Response in Neural Coding, Jianxue Xu.
24. Setting Up New Memories:
The Ideal Job for The Mammalian Dentate Gyrus; Gergely Papp and Alessandro
Treves.
25. Neural Network Model Generating Symbol Sequence for Songs of
Bengalese Finch, Junichirou Kotani et. al.;
26. A New Method for
Characterizing the Variability of the Spike Trains, Ying Du et. al.; Part II
Mesoscopic Cognitive Neurodynamics; Transitions Between Levels.
27. Proposed
Renormalization Group Analysis of Nonlinear Brain Dynamics at Criticality,
Walter J. Freeman et. al.;
28. Regulating Cortical Neurodynamics at Different
Scales, Hans Liljenstrom. 29 A Thermodynamic Model of the Action-Perception
Cycle in Brain Dynamics, Walter J. Freeman.
30. Dynamic Field Theory as the
Interface Between Neuronal Dynamcis and Embodied Cognition, Gregor Schoner.
31. The Task of Cognitive Neuroscience; Christoph von der Malsburg.
32.
Functional Roles of Feedback Signals from Higher-Order Areas to Lower-Order
Areas in the Visual Cortical Pathways, Tiande Shou.
33. Dynamics of
Population Decoding with Strong Inhibition, Thomas Trappenberg.
34. Global
Oscillations of CA3 Neural Fields; Francesco Ventriglia.
35. Behaviour
Signatures of Continuous Attractors, Si Wu.
36. Statistical Outliers in
Neuron Population and Myelinated Fiber Development in Human Neocortex, David
L. Cooper et. al.;
37. Studies on Synchronization Using KIV Model, Mark H.
Myers et. al.;
38. Synchronous Firing and Its Control in Neuronal Population
with Time Delay, Xianfa Jiao et. al.;
39. Sequence Memory with Dynamic
Synapses and Chaotic Neurons, Min Xia et. al.;
40. Interacting Turing and
Hopf Instabilities Drive Pattern Formation in a Noise-Driven Model Cortex,
Moira L. Steyn-Ross et. al.;
41. Context-Dependent Processing of
Spatiotemporal Patterns Based on Interaction Between Neurodynamical Systems,
Takashi Hasuo et. al.;
42. The Synchronization and Associative Memory of
Izhikevich Neural Network, Wei Zhang et. al.;
43. Connectivity Dependent
Effects in Cognitive Neurodynamics of Mental Disorders, Hans Liljenstrom et.
al.;
44. Corticopetal Acetylcholine: A Role in Attentional State Transitions
and the Genesis of Quasi-Attractors During Perception, Hiroshi Fujii et. al.;
45. Cortical Anatomy and the Spatiotemporal Learning Rule, J.J. Wright et.
al.;
46. Theta Phase Precession for Spatial Representation in the
Entorhinal-dentate Gyrus-ca3 Network, Colin Molter et. al.;
47. Optical
Imaging of Visual Feature Representation in the Awake, Fixating Monkey, Anna
Roe et. al.;
48. Mechanisms of Spatial Integration in Primary Visual Cortex
of the Primate, Alexander Thiele et. al.;
49. Coding of Peripheral Olfactory
Information in the Olfactory Bulb of Small Animals, Fuqiang Xu et. al.;
50.
Neural Ensembles and Local Field Potentials in the Hippocampal-Prefrontal
Cortex System During Spatial Learning and Strategy Shifts in Rats, Francesco
P. Battaglia et. al.;
51. Temporal and Spatial Characters of Retinal Ganglion
CellsResponse to Natural Stimuli, Ying-Ying Zhang et. al.;
52.
Synchronization of Chaotic Neuronal Networks with Small-world. Topology, Fang
Han et. al.;
53. Effects of Time Delay on Synchronization and Temporal Order
in a Square Lattice Noisy Neuronal Network, Qing-Yun Wang et. al.;
54. The
Attractor Type of Complex Networks, Tan Ning et. al.;
55. Asymptotical
Stability of Delayed BAM Neural Networks with Generalized Activation
Functions by Comparison Approaches; Yuguo Chen et. al.;
56. Chaotic
Synchronization of Hindmarsh-Rose Neurons Coupled by Cubic Nonlinear
Feedback, Xiaoling Fang et. al.; Part III Macroscopic Cognitive
Neurodynamics.
57. When IsItWorthWorking: Calculating the Motivational Value
of Working, Barry J. Richmond et. al.;
58. The Physiological and Biochemical
Bases of Functional Brain Imaging, Louis Sokoloff.
59. Through Attention to
Consciousness; J.G. Taylor.
60. What Do Infants Infer? Modelling Simple
Cognition; J.G. Taylor et. al.;
61. The Time Dimension for Scene Analysis;
DeLiang Wang.
62. Implications for Psychiatry of a Thermodynamic Model of
Brain Operating Far from Equilibrium, Walter J. Freeman.
63. Optical Imaging
of Plastic Changes Induced by Fear Conditioning in The Auditory Cortex of
Guinea Pig, Yoshinori Ide et. al.;
64. Learning in Sparse Attractor Networks
with Inhibition, Si Wu et. al.;
65. Dynamic Analysis of Motor Imagery EEG
Using Kurtosis Based. Independent Component Analysis, Xiaojing Guo et. al.;
66. Quantifying the Sequential Structure of Psychotic Behavior; P.E. Rapp.
67. Machine Learning Framework for Inferring Cognitive State from
Magnetoencephalographic (MEG) Signals, Andrey Zhdanov et. al.;
68. Relevant
Stimuli Encoding Surface Structural Textures by Touching Plain Woven Fabric,
Jiyong Hu et. al.;
69. Robust Auditory-Based Speech Feature Extraction Using
Independent Subspace Method, Qiang Wu et. al.;
70. Intra- and Interpersonal
Coordination of Goal-Oriented Movements in aWorking Scenario, Cordula Vesper
et. al.;
71. Network Synchronization/Desynchronization Defects in the
Pathogenesis of Neuropsychiatric Disorders, R.S. Hernandez et. al.;
72.
Exploring Causal Relationships in the Phase Functions of Coupled Van der Pol
Oscillators; C.J. Cellucci et. al.;
73. EEG Theta Regulates Eye Saccade
Generation During Human Object-place Memory Encoding, Naoyuki Sato et. al.;
74. Hippocampal and Parahippocampal Neuronal Responses to Spatial and
Non-Spatial Factors in Rats and Monkeys, Hisao Nishijo et. al.;
75.
Oscillatory Event Synchrony During Steady State Visual Evoked Potentials,
Francois B. Vialatte et. al.;
76. Information Entropy-Based Penalty for
PARAFAC Analysisof Resting EEG, Eduardo Martynez-Montes et. al.;
77. PARAFAC
Analysis of Neural Correlates of Face Detection, Jhoanna Perez-Hidalgo-Gato
et. al.;
78. Human Vision Can Predict Semi-Random but the First-Order Linear
Process, Manabu Shikauchi et. al.;
79. Memory Formation of Object
Representation: Natural Scenes, Eiichi Hoshino et. al.;
80. Dynamical Model
of Action Reinforcement by Gated Working Memory; Adam Ponzi.
81. Quantum
Representation Theory for Nonlinear Dynamical Automata, Peter beim Graben.
82. Superior Colliculus and Basal Ganglia Control the Saccadic Response in
Motion Discrimination Tasks, Jiaxiang Zhang et. al.;
83. A Synergetic Model
for Operant Behaviors Under the Control of Fixed Interval Reinforcement
Schedules, Shih-Che Lin and Jay-Shake Li.
84. Adaptable Intermittency and
Autonomous Transitions in Epilepsy and Cognition, Elan Liss Ohayon et. al.;
85. A Computational Approach to the Control of Voluntary Saccadic Eye
Movements, Jeremy Fix.
86. Spatial Considerations of Feedback Control for the
Suppression of Epileptic Seizures, Beth A. Lopour et. al.;
87. EEG Scaling
Difference Between Eyes-Closed and Eyes-Open Conditions by Detrended
Fluctuation Analysis, Tingting Gao et. al.;
88. Closure Positive Shifts
Evoked by Different Prosodic Boundaries in Chinese Sentences, Weijun Li et.
al.;
89. StructureFunction Relationship in Complex Brain Networks by
Multilevel Modeling, Changsong Zhou et. al.;
90. Model of Attention
Allocation for Car Driver by Driving Plan and Prediction of Environment
Change, Takashi Omori. 91 Top-Down Object Biased Attention Using Growing
Fuzzy Topology ART, Young-Min Jang.
92. Saliency Map Models for
Stimulus-Driven Mechanisms in Visual Search: Neural and Functional Accounts,
Jun Saiki et. al.;
93. Extraction of Single-Trail N400 Event-Related
Potentials Based on Dynamic Independent Component Analysis, Wen-Juan Li et.
al.;
94. Characterizing Individual Interest by a Computational Model of
Reading, J. Ignacio Serrano et. al.;95. Overview of Diffusion Tensor Imaging
in Multiple Sclerosis and Neuromyelitis Optica, Chunshui Yu et. al.;
96. 1H
MRS Characterization of Cerebral Metabolic Changes in Transgenic Mouse Models
of Alzheimers Disease, Xiaoxia Du et. al.;
97. WLC Analysis of Lamprey
Neural System, Liu Shenquan et. al.;
98. Hydrocephalus: A Realistic
Porous-Media Model with Geometry Based on Neuroimaging, Guillermo Narsilio
et. al.;
99. Pattern Classification of Visual Evoked Potentials Based on
Parallel Factor Analysis, Jie Li et. al.;
100. How Can We Justify the Use of
Lower Animal Models to Understand the Pathophysiology of Schizophrenia?
Anne-Laure Boutillier et. al.;
101. Monkey Prefrontal Neuronal Activity
Modifications after Training in a Cognitive Task, Xue-Lian Qi et. al.;
102.
Neural Substrates During Finding Target Objects and Observing Natural
Phenomena: An fMRI Study, Jun-Ki Lee et. al.;
103. Changes in Brain
Activation Induced by Training of Hypothesis Generation Skills: An fMRI
Study, Yong-Ju Kwon et. al.;
104. Early Access and Integration of Meaning
Indicated by Pitch Accent: A Mismatch Negativity Study, Xiaoqing Li et. al.;
105. Electric Stimulation of Optic Nerve Fiber: A Simulation Study, Qingli
Qiao et. al.;
106. EEG Dynamics During Nitrous Oxide Inhalation in Healthy
Male Participants, Brett L. Foster et. al.;
107. Penalized Regression Methods
in the Source Analysis of Face Recognition, Mayrim Vega-Hernandez et. al.;
108. Brain Activation During Scientific Hypothesis Generation in Biologists
and Non-biologists, Il-Sun Lee et. al.;
109. Wavelet Analysis of ERP
Recordings for Dual Tasks in Man, Jie Wu et. al.;
110. Neocortical and
Neocerebellar Synchronization of Fast Oscillations: Role in the Dynamic
Organization of Rapid Temporal Processing, John P. Welsh et. al.; Part IV
Applications 111 A Road-Map Towards Cognitive Machines, J.G. Taylor.
112.
Comprehensive EEG Signal Analysis for BrainComputer Interface, Shangkai Gao
et. al.;
113. Unsupervised Extractionand Supervised Selection of Features
Based on Information Gain, Soo-Young Lee et. al.;
114. Stability and
Instability in Autonomous Systems, Hans Liljenstrom.
115. The
Neuroinformatics Portal of the International Neuroinformatics Coordinating
Facility, Jan G. Bjaalie.
116. Neuroinformatics in the Netherlands, Jaap van
Pelt et. al.;
117. Neuroinformatics Japan Node and Platforms, Shiro Usui.
118. Chinese Neuroinformatics Research: Recent Progress and Future
Activities, Guang Li et. al.;
119. Neuroinformatics in India Current Status
and Future Directions, Nandini Chatterjee Singh.
120. Emotional States
Estimation from Multichannel EEG Maps, Tomasz M. Rutkowski et. al.;
121. ICA
and Complexity Measures of EEG Analysis in Brain Death Determination,
Jianting Cao et. al.;
122. Feature Reduction in Biosignal Processing, Martin
Golz et. al.;
123. An Efficient Encoding Scheme for Dynamic Visual Input
Based on the Statistics of Natural Optic Flow, Dirk Calow et. al.;
124. Grid
Task Scheduling Algorithm R3Q for Evolving Artificial Neural Networks,
Yoshiyuki Matsumura et. al.;
125. Pattern Discrimination of Mechanomyogram
Using a Delta-Sigma Modulated Probabilistic Neural Network, Keisuke Shima et.
al.;
126. HMM-Based Top-Down Attention for Noise-Robust Speech Recognition,
Chang-Hoon Lee et. al.;
127. Roving Robot Autonomously Controled by Chaotic
Memory Dynamics in Quasi-Layered Recurrent Neural Networks for Sensing and
Driving, Tai Tanaka et. al.;
128. A New Approach to Detect Stable Phase
Structure in High-Density EEG Signals, Yusely Ruiz et. al.;
129. A Tea
Classification Method Based on an Olfactory System Model, Eduardo Gonzalez
et. al.;
130. Evolution Architecture Models for Integrated Grid Information
Services, Do-Hyeun Kim et. al.;
131. Maximizing Parallelism for Single Loops,
Sam Jin Jeong.
132. The RealtimeWorkflow for RFID Based Medical Test, Sang
Hwan Kung et. al.;
133. Visuo-Spatial Attention Frame Recognition for
Brain-Computer Interfaces, Ferran Galan et.al.;
134. To Err is Human:
Learning from Error Potentials in Brain-Computer Interfaces, Ricardo
Chavarriaga et. al.;
135. Multi-Command Real-Time Brain Machine Interface
Using SSVEP: Feasibility Study for Occipital and Forehead Sensor Locations,
Pablo Martinez et. al.;
136. Towards Learning Retina Implants: How to Induce
Visual Percepts with Electrical Stimulation Patterns, Rolf Eckmiller et. al.;
137. The Effects of Speed Steps on Brain Cognitive Processing: An ERP Study,
Lin-Jie Wang et. al.;
138. Design and Implementation of the Adaptive
Teachable Agent, SungHyun Yun et. al.;
139. The Convertible Undeniable
Multi-Signature Scheme, SungHyun Yun et. al.;
140. A Cognitive-Neuro
Computational Lexical Acquisition Model, Heui Seok Lim et. al.;
141. Brain
Activation Connected with Visual Word Processing in Korean Language, Hyojeong
Sohn et. al.;
142. A GJK Based Real-Time Collision Detection Algorithm for
Moving Objects, Sangyoung Oh et. al.;
143. Neural Information Encoding Based
on a Bifurcation Machinery, Wei Ren et. al.;
144. Identify Stochastic
Bursting from Chaotic Bursting Generated in an Experimental Neural Pacemaker,
Huaguang Gu et. al.;
145. Ocular Artifacts Removal from EEG Using EMD, David
Looney et. al.;
146. Quasi-Brain-Death EEG Data Analysis by Empirical Mode
Decomposition, Yuki Saito et. al.;
147. Synchronization Between Two Coupled
Networks of Discrete-Time Systems, Congxiang Xu et. al.;
148. Walk-Aided
System with Wearable Lower Extremity Exoskeleton for Brain-Machine
Engineering, Heng Cao et. al.;
149. A Study on the Filter Effect for
Calculating the Mass Center of the Traveling Alpha Waves, Hongchuan Xiong et.
al.;
150. Differentiate Negative and Positive Schizophrenia Using Support
Vector Machine, Ming Ke et. al.;
151. Detecting Nonlinearity in Wrist Pulse
Using Delay Vector Variance Method, Jianjun Yan et. al.;
152. Orthogonal
Filter-Based Networks for Learning, Wieslaw Sienko et. al.;
153. Modeling and
Simulation of Foreign Body Reactions to Neural Implants, Jianzhong Su et.
al.;
154. Transiently Chaotic Neural Network with Variable Thresholds for the
Frequency Assignment Problem in Satellite Communications, Wen Liu et. al.;
155. Sparse Coding of Visual Context, Jun Miao et. al.;
156. Mark Design and
Recognition in Blind-Guiding System, Jihong Liu et. al.;
157. An Animal Model
of Alzheimers Disease Highlighting Targets for Computational Modeling, Diana
S. Woodruff-Pak et. al.;
158. An Improved Transiently Chaotic Neural Network
Approach for Identical Parallel Machine Scheduling, Aiqing Yu et. al.;
159.
Support Vector Machine on Functional MRI, Ling Zeng et. al.; Part V Methods
and Technics.
160. Face Detection Using Multi-Feature, Huaiyi Zhu et. al.;
161. A Text Classification Method Based on Cascade, Hui Li et. al.;
162. A
PCNN Based Approach to Image Segmentation Using Size-Adaptive Texture
Features, Lijuan Duan et. al.;
163. Entropy-Partition of Complex Systems and
Emergence of Human Brains Consciousness, Guangcheng Xi.
164. Multi-Qubit
State Teleportation via Multiparty-Controlled Entanglement, Ying Guo et. al.;
165. New Multiobjective PSO Algorithm for Nonlinear Constrained Programming
Problems, Chun-An Liu.
166. Binary Kernel in Morphological Associative
Memory, Wei-Chen Cheng et. al.;
167. Intrusion Detection Classifier Based on
Dynamic SOM and Swarm Intelligence Clustering, Yong Feng et. al.;
168. New
Evolutionary Algorithm to Solve Dynamic Constrained Optimization, Chun-An Liu
et. al.;
169. Effects of 3D Co-Occurrence Features on Terrain Classification,
Dong-Min Woo et. al.;
170. New Heuristic of Self Organizing Map Using
Updating Distribution, Sung-Hae Jun.
171. Regression ICA Algorithm for Image
Denoising, Shangming Yang, Zhang Yi and Guisong Liu.
172. Thumbnail
Generation Based on Global Saliency, Xiaodi Hou et. al.;
173. Exponential
Stability of Delayed Hopfield Neural Networks by Using Comparison Method,
Wudai Liao.
174. Adaptive Fuzzy Clustering Neural Network, Fang Bao et. al.;
175.Compound Attack on Synchronization Based Neural Cryptography, Ping Li et.
al.;
176. Two-Dimension Mass-Moment Control Based on the Fuzzy Neural
Networks Variable Structure Control, Zhiqin Qian et. al.;
177. Constructive
Approximation Method of Polynomial by Neural Networks, Jianjun Wang et. al.;
178. Fault Pattern Recognition Based on Improved Wavelet Neural Network,
Deng-Chao Feng et. al.;
179. Estimation of the Flooded Volume in Ad Hoc
Networks Using Evolving Networking Theory, Demin Li et. al.;
180. A Plausible
Modeling for Cellular Responding DNA Damage Under Radiotherapy, Jinpeng Qi
et. al.;
181. An Improvement of Sequential Minimum Optimization Algorithm,
Jian Zhang et. al.; Index.
